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Papers tagged with "Cnn"
HYBRID MACHINE LEARNING AND DEEP LEARNING-BASED VPN NETWORK TRAFFIC ANOMALY DETECTION SYSTEM
The Rapid Growth Of Internet Usage And The Widespread Adoption Of Virtual Private Networks (VPNs) Have Significantly Enhanced Secure Communication, But Have Also Introduced New Challenges In Detecting Cyber Threats Hidden Within Encrypted T...
Crowdsourced Civic Issue Reporting And Resolution: A Digital Platform For Transparent Urban Governance
Urban Municipal Infrastructure In India Faces A Lot Of Issues Such As Potholes, Improper Water Management, Broken Streetlights, Water Leakage And Drainage Blockages. The Major Challenge That We Are Facing In This Modern Era Is That The Auth...
Enhanced ODIRNet: Attention-Driven And Explainable Deep Neural Network For Robust Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) Is A Significant Global Health Concern, Especially In Areas With High Rates Of Diabetes. Early Detection Via Automated Systems Can Reduce The Risk Of Blindness. This Paper Introduces ODIRNet, A Compact Deep Convolu...
BLOOD GROUP DETECTION USING FINGERPRINT
Fingerprint-based Blood Group Detection Is An Innovative And Emerging Technique That Integrates Deep Learning And Image Processing To Predict An Individual's Blood Type From Fingerprint Patterns. This Method Leverages The Correlation Betwee...
VISION-DRIVEN FRAMEWORK FOR STUDENT IDENTITY VERIFICATION USING FACE AS HALL TICKET IN MODERN EXAMINATION SYSTEMS
Student Authentication During Examinations Has Emerged As A Critical Challenge In Modern Academic Environments Due To The Rising Incidence Of Impersonation, Identity Fraud, And Unethical Examination Practices. Conventional Verification Meth...
Multimodal Fake News Detection Using DistilBERT And Xception Convolutional Neural Network
The Rapid Proliferation Of Misinformation Across Digital Platforms Poses A Growing Threat To Public Discourse, Democratic Processes, And Societal Trust. Traditional Fake News Detection Approaches Rely Exclusively On Textual Analysis, Failin...
AI-Powered Twitter Content Moderation Using SBERT, CNN And Bi-LSTM With Severity-Based Alert System
Social Media Platforms Such As Twitter (now X) Generate Large Volumes Of Real-time Content, Including Spam, Malicious Links, And Harmful Messages. The Rapid Spread Of Such Content Poses Significant Challenges For Manual Moderation Due To Hi...
Face Identification In Movie Footage
Face Identification And Object Detection In Movie Footage Present Significant Challenges Owing To The Dynamic Nature Of Video Content, Complex Scene Transitions, Rapid Movements, And Occlusions. Existing Systems That Apply Image-based Algor...
Cyber Threat Intelligence System Using CNN-LSTM Deep Learning Model
Cyber Threat IntelligenceThe Rapid Evolution Of Cyber Threats, Including Malware, Phishing Attacks, Distributed Denial Of Service (DDoS), And Advanced Persistent Threats, Has Made Traditional Security Mechanisms Less Effective. Conventional...
AI-DRIVEN TWO WAY SIGN LANGUAGE TRANSLATOR
This Project Presents A Two-way Sign Language Translation System That Enables Communication Between Hearing-impaired Individuals And Non-sign Language Users. The System Converts Hand Gestures Into Text Using Computer Vision And Machine Lear...
Deep Learning-Enabled Personal Fitness Coaching With Motion Feedback And Goal Optimization
The Increasing Adoption Of Artificial Intelligence In Healthcare And Fitness Has Opened New Opportunities For Intelligent Personal Coaching Systems. This Paper Presents A Deep Learning-enabled Personal Fitness Coaching System That Recognize...
Real-Time Sign Language Interpretation Using Deep Learning
Sign Language Serves As The Primary Mode Of Communication For Millions Of Hearing-impaired Individuals Worldwide, Yet The Gap Between The Deaf Community And The Hearing World Remains A Significant Barrier. This Paper Presents A Comprehensiv...
DEEP VISION-BASED SMART WASTE SORTING USING VGG16 AND YOLO FOR REAL-TIME APPLICATIONS
Waste Classification Is A Critical Component Of Effective Waste Management, As It Enables Materials To Be Properly Segregated For Disposal, Recycling, And Environmental Protection. Traditional Waste Sorting Methods Largely Depend On Manual...
AI -POWER BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS
Visual Impairment Creates Major Challenges In Daily Life And Mobility, As Individuals Often Struggle To Detect Obstacles And Recognize People Around Them. To Address These Issues, Smart Assistive Technologies Play A Vital Role In Improving...
Hybrid Deep Learning Model For Early Fault Detection In Energy-Intensive Tablet Press Equipment: MLP–1D CNN Fusion For EMIS Applications
Fault Detection In Pharmaceutical Tablet Press Equipment Is Crucial For Ensuring Product Quality, Minimizing Downtime, And Reducing Energy Consumption In Energy-intensive Manufacturing Environments. This Study Presents A Hybrid Deep Learnin...